An Effect of Financial Indicators on Share Price of largest US companies

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F22%3A43966368" target="_blank" >RIV/49777513:23510/22:43966368 - isvavai.cz</a>

Výsledek na webu

<a href="https://kems.upol.cz/fileadmin/userdata/FF/katedry/kae/knowcon/proceedings/Knowcon2022.pdf" target="_blank" >https://kems.upol.cz/fileadmin/userdata/FF/katedry/kae/knowcon/proceedings/Knowcon2022.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

An Effect of Financial Indicators on Share Price of largest US companies

Popis výsledku v původním jazyce

There is fierce competition among various approaches for a share price determination, as technical,fundamental, and behavioural analyses try to explain the stock market phenomenon. This paper aims tocontribute to the fundamental analysis and compare the importance of various financial indicators for investors.It uses financial data of one hundred largest companies from the New York Stock Exchange (NYSE) and theNational Association of Securities Dealers Automated Quotations (NASDAQ) and determines how significantlythe financial indicators influence the price of the share, using a panel regression model as the main statisticalapproach. In the second part of the paper, a machine learning approach is used to cluster shares into groupsusing the financial indicators and is studied how much the structure of the clusters matches the sectoral structureof the companies and how miscellaneous are the companies from a financial perspective.

Název v anglickém jazyce

An Effect of Financial Indicators on Share Price of largest US companies

Popis výsledku anglicky

There is fierce competition among various approaches for a share price determination, as technical,fundamental, and behavioural analyses try to explain the stock market phenomenon. This paper aims tocontribute to the fundamental analysis and compare the importance of various financial indicators for investors.It uses financial data of one hundred largest companies from the New York Stock Exchange (NYSE) and theNational Association of Securities Dealers Automated Quotations (NASDAQ) and determines how significantlythe financial indicators influence the price of the share, using a panel regression model as the main statisticalapproach. In the second part of the paper, a machine learning approach is used to cluster shares into groupsusing the financial indicators and is studied how much the structure of the clusters matches the sectoral structureof the companies and how miscellaneous are the companies from a financial perspective.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50206 - Finance

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Knowledge on Economics and Management

ISBN

978-80-244-6232-5

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

123-129

Název nakladatele

Palacký University Olomouc

Místo vydání

Olomouc

Místo konání akce

Olomouc

Datum konání akce

7. 12. 2022

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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